CN110334238A - A kind of Missing Persons based on recognition of face trace method and system - Google Patents
A kind of Missing Persons based on recognition of face trace method and system Download PDFInfo
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Abstract
The embodiment of the present application provides a kind of Missing Persons based on recognition of face and traces method and system.This method comprises: carrying out recognition of face at least Missing Persons' photo, Missing Persons' characteristic set is extracted by being repeatedly overlapped face recognition algorithms；Missing Persons' characteristic set, using preset threshold as bound radius, is sent to sensing equipment in region using missing place as the center of circle by way of radar gradient decline, and starts missing crew and traces program, when missing crew is hit in discovery, result is traced in return；When starting missing crew, which traces program, imports transport node, the ID authentication device into transport node sends missing crew's prompt, monitors in real time and intercepts a suspect；Missing Persons' characteristic set being sent to public organizations, being compared by newly gathering into personnel characteristics public organizations with Missing Persons' characteristic set, when missing crew is hit in discovery, result is traced in return.The application improves the efficiency of population management.
Description
Technical field
Method is traced this application involves population management field more particularly to a kind of Missing Persons based on recognition of face and is
System.
Background technique
Missing Persons trace be Population safety management important component, it is intended to promote population management and Population safety water
It is flat, better support is provided safely for the protection people.Missing Persons trace to identify Missing Persons as core, to missing person
Mouth feature is analyzed, the easy region of key monitoring Missing Persons.Traditional Missing Persons trace also in manually tracing
Mode, or related personnel's alarm is passively waited, it is not carried out routine testing and wisdom monitoring, is not carried out to recognition of face
The utilization of technology while wasting a large amount of human and material resources, financial resources, also delays rescue opportunity sometimes, has seriously affected missing person
The automation paces that mouth is traced.
Therefore, it needs face recognition technology tracing practice with Missing Persons and combine, both improved what Missing Persons traced
Efficiency, and the accuracy that Missing Persons trace is improved, save unnecessary human and material resources, financial resources.
Summary of the invention
In view of this, the purpose of the application is to propose that a kind of Missing Persons based on recognition of face trace method and are
System improves Missing Persons and traces level, solves during current Missing Persons trace, risk identification low efficiency, artificial cost be big,
The not high technical problem of accuracy.
Based on above-mentioned purpose, present applicant proposes a kind of Missing Persons based on recognition of face to trace method, comprising:
Recognition of face is carried out at least Missing Persons' photo, by be repeatedly overlapped face recognition algorithms extract it is missing
Population characteristic's set；
By Missing Persons' characteristic set using missing place as the center of circle by way of radar gradient decline, with preset threshold
For bound radius, it is sent to sensing equipment in region, and starts missing crew and traces program, the missing crew is hit in discovery
When, result is traced in return；
ID authentication device hair when the starting missing crew, which traces program, imports transport node, into transport node
It send missing crew to prompt, monitor in real time and intercepts a suspect；
Missing Persons' characteristic set is sent to public organizations, by newly collecting the public organizations into personnel characteristics
Conjunction is compared with Missing Persons' characteristic set, and when the missing crew is hit in discovery, result is traced in return.
In some embodiments, the multiple overlapping face recognition algorithms extract Missing Persons' characteristic set, comprising:
Missing Persons' photo is divide into upper part and lower part；
Top half Missing Persons facial characteristics is extracted one by one, overlaps to form the first population facial characteristics；
Lower half portion Missing Persons facial characteristics is extracted one by one, and compares amendment, shape with the first population facial characteristics
At Missing Persons' characteristic set.
In some embodiments, the radar gradient declines mode, comprising:
Using radial direction as gradient descent direction, gradually reduces trace important level in the radially outward direction；
With Radius upload sense equipment to trace important level consistent.
In some embodiments, described using radial direction as gradient descent direction, it gradually reduces chase after in the radially outward direction
Look into important level, comprising:
It is described to trace important level calculation formula are as follows:
Wherein I traces important level, I for t moment0Initially to trace important level, R traces radius, μ for t moment
Important level conversion coefficient is traced for radius-.
In some embodiments, described to trace geographical location, discovery time that result includes the Missing Persons, figure and features shape
State；
It is described trace result by transmission device push in real time all trace equipment, and determine whether terminate trace journey
Sequence.
It is in some embodiments, described when the starting missing crew traces program and touches transport node, comprising:
Using missing place as the center of circle, radius being traced over time and is extended with preset length, circle is traced in formation
Domain；
When the transport node geographical location enter described in trace border circular areas when, be judged as that tracing program touches traffic section
Point.
In some embodiments, it is described by by the public organizations newly into personnel and Missing Persons' characteristic set ratio
It is right, comprising:
When finding that Missing Persons are more than preset threshold earlier than debatable time into public organizations' time, does not return and chase after
Come to an end fruit.
Based on above-mentioned purpose, the application also proposed a kind of Missing Persons based on recognition of face and trace system, comprising:
Initial identification module, for carrying out recognition of face at least Missing Persons' photo, by being repeatedly overlapped face
Recognizer extracts Missing Persons' characteristic set；
Module is traced in extension, is used for Missing Persons' characteristic set by way of radar gradient decline with the place that is missing
It is sent to sensing equipment in region using preset threshold as bound radius for the center of circle, and starts missing crew and traces program, is found
When hitting the missing crew, result is traced in return；
Traffic blocking module, for when the starting missing crew trace program import transport node when, to transport node
In ID authentication device send missing crew prompt, monitor in real time and intercept a suspect；
Mechanism discovery module, for Missing Persons' characteristic set to be sent to public organizations, by will be described public
Mechanism newly gathers into personnel characteristics to be compared with Missing Persons' characteristic set, and when the missing crew is hit in discovery, return is chased after
Come to an end fruit.
In some embodiments, the initial identification module, comprising:
Division unit, for Missing Persons' photo to be divide into upper part and lower part；
It is special to overlap to form the first population face for extracting top half Missing Persons facial characteristics one by one for extraction unit
Sign；
Amending unit, for one by one extract lower half portion Missing Persons facial characteristics, and with the first population facial characteristics into
Row comparison amendment, forms Missing Persons' characteristic set.
In some embodiments, system according to claim 8, which is characterized in that further include:
Task scheduling modules, distribution, resource allocation for control task；
Efficiency monitoring module is used for monitor task execution efficiency, and sends supervision result to the task scheduling modules.
Detailed description of the invention
In the accompanying drawings, unless specified otherwise herein, otherwise indicate the same or similar through the identical appended drawing reference of multiple attached drawings
Component or element.What these attached drawings were not necessarily to scale.It should be understood that these attached drawings depict only according to the present invention
Disclosed some embodiments, and should not serve to limit the scope of the present invention.
Fig. 1 shows the flow chart that the Missing Persons according to an embodiment of the present invention based on recognition of face trace method.
Fig. 2 shows the composition figures that the Missing Persons according to an embodiment of the present invention based on recognition of face trace system.
Fig. 3 shows the composition figure of alarm module according to an embodiment of the present invention.
Fig. 4 shows the composition figure that the Missing Persons according to an embodiment of the present invention based on recognition of face trace system.
Fig. 5 shows the schematic diagram that the Missing Persons according to an embodiment of the present invention based on recognition of face trace method.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is only used for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to just
Part relevant to related invention is illustrated only in description, attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Fig. 1 shows the flow chart that the Missing Persons according to an embodiment of the present invention based on recognition of face trace method.Such as Fig. 1
Shown, Missing Persons' method of tracing based on recognition of face of being somebody's turn to do includes:
Step S11, recognition of face is carried out at least Missing Persons' photo, is taken out by being repeatedly overlapped face recognition algorithms
Take out Missing Persons' characteristic set.
In one embodiment, the multiple overlapping face recognition algorithms extract Missing Persons' characteristic set, comprising:
Missing Persons' photo is divide into upper part and lower part；
Top half Missing Persons facial characteristics is extracted one by one, overlaps to form the first population facial characteristics；
Lower half portion Missing Persons facial characteristics is extracted one by one, and compares amendment, shape with the first population facial characteristics
At Missing Persons' characteristic set.
Since the photo of missing crew is static image, often due to the reasons such as light, angle, makeup, shooting gimmick,
Cause the face characteristic of missing crew that can only extract local feature, or even if having extracted the face characteristic of Missing Persons,
There is also the problems of inaccuracy.Therefore, it is necessary to carry out repeatedly mentioning for face characteristic by the multiple pictures for collecting Missing Persons
It takes, the accumulative more comprehensive Missing Persons' face feature out of overlapping.
Still further aspect, by the way that the photo of Missing Persons is divided into two parts, a part identifies missing person for eclipsed form
Mouth face characteristic, another part are used to correct the accuracy of face extraction, can be further improved Missing Persons' face feature
Accuracy establishes solid foundation for the work of tracing of Missing Persons.
In one embodiment, population photo is divide into upper part and lower part, can be carried out by way of randomly selecting
Grouping, can also be chosen by way of by sequence permutation.
In one embodiment, the overlapping of Missing Persons' face feature, which is extracted, enters stable state, can not extract more faces
When portion's feature, remaining Missing Persons' photo can be used for the verifying work of face characteristic.
Step S12, by way of radar gradient decline by Missing Persons' characteristic set using missing place as the center of circle, with
Preset threshold is bound radius, is sent to sensing equipment in region, and starts missing crew and trace program, and the mistake is hit in discovery
When track personnel, result is traced in return.
In one embodiment, the radar gradient declines mode, comprising:
Using radial direction as gradient descent direction, gradually reduces trace important level in the radially outward direction；
With Radius upload sense equipment to trace important level consistent.
In one embodiment, described using radial direction as gradient descent direction, it gradually reduces in the radially outward direction
Trace important level, comprising:
It is described to trace important level calculation formula are as follows:
Wherein I traces important level, I for t moment0Initially to trace important level, R traces radius, μ for t moment
Important level conversion coefficient is traced for radius-.
From formula as can be seen that over time, tracing what important level constantly reduced really, this explanation with when
Between passage, Missing Persons may have moved away from apart from closer region；In addition, on same time point, far from missing original
The area of point, it is relatively low to trace important level, this is because at this time missing crew also fail to move to it is regional farther out, appearance it is general
Rate also will be smaller, need not also waste and trace resource and traced.
In one embodiment, described to trace the geographical location that result includes the Missing Persons, discovery time, figure and features
State；
It is described trace result by transmission device push in real time all trace equipment, and determine whether terminate trace journey
Sequence.
Specifically, the sensing equipment in region may include portable device (for example, the hand-held identity that police uses
Identifier), camera, gate inhibition etc. can capture the sensing equipment of population information.
Step S13, when the starting missing crew, which traces program, imports transport node, the identity into transport node is recognized
It demonstrate,proves equipment and sends missing crew's prompt, monitor in real time and intercept a suspect.
It is in one embodiment, described when the starting missing crew traces program and touches transport node, comprising:
Using missing place as the center of circle, radius being traced over time and is extended with preset length, circle is traced in formation
Domain；
When the transport node geographical location enter described in trace border circular areas when, be judged as that tracing program touches traffic section
Point.
In one embodiment, transport node may include port and pier, railway station, airport, bus station, subway station,
The populations such as bus stop ride public transportation means the area far from missing region.
Step S14, Missing Persons' characteristic set is sent to public organizations, by by the public organizations newly into people
Member's characteristic set is compared with Missing Persons' characteristic set, and when the missing crew is hit in discovery, result is traced in return.
In one embodiment, it is described by by the public organizations newly into personnel and Missing Persons' characteristic set
It compares, comprising:
When finding that Missing Persons are more than preset threshold earlier than debatable time into public organizations' time, does not return and chase after
Come to an end fruit.
Specifically, public organizations may include that hospital, collecting post, the funeral parlor, local police station etc. may receive Missing Persons
Public unit.When finding that Missing Persons occur in these public organizations, also correspond to trace Missing Persons in fact
Whereabouts, moreover, in real life, Missing Persons in these public places in the probability that occurs it is also bigger, therefore, having must
The information of Missing Persons is passed into these public organizations in first time.
Fig. 2 shows the composition figures that the Missing Persons according to an embodiment of the present invention based on recognition of face trace system.Such as Fig. 2
Shown, which, which traces system, can integrally be divided into:
Initial identification module 21, for carrying out recognition of face at least Missing Persons' photo, by being repeatedly overlapped people
Face recognizer extracts Missing Persons' characteristic set；
Module 22 is traced in extension, is used for Missing Persons' characteristic set by way of radar gradient decline with missing ground
Point is sent to sensing equipment in region using preset threshold as bound radius for the center of circle, and starts missing crew and trace program, sends out
When now hitting the missing crew, result is traced in return；
Traffic blocking module 23, for when the starting missing crew trace program import transport node when, to traffic section
ID authentication device in point sends missing crew's prompt, monitors in real time and intercepts a suspect；
Mechanism discovery module 24, for Missing Persons' characteristic set to be sent to public organizations, by by the public affairs
Mechanism newly gathers into personnel characteristics and compares with Missing Persons' characteristic set altogether, when the missing crew is hit in discovery, returns
Trace result.
Fig. 3 shows the composition figure of alarm module according to an embodiment of the present invention.
From figure 3, it can be seen that the initial identification module, comprising:
Division unit 211, for Missing Persons' photo to be divide into upper part and lower part；
Extraction unit 212 overlaps to form the first population face for extracting top half Missing Persons facial characteristics one by one
Feature；
Amending unit 213, for one by one extract lower half portion Missing Persons facial characteristics, and with the first population facial characteristics
Amendment is compared, Missing Persons' characteristic set is formed.
Fig. 4 shows the composition figure that the Missing Persons according to an embodiment of the present invention based on recognition of face trace system.
From fig. 4, it can be seen that Missing Persons' system of tracing based on recognition of face can also include:
Task scheduling modules 25, distribution, resource allocation for control task；
Efficiency monitoring module 26 is used for monitor task execution efficiency, and sends supervision result to the task scheduling modules.
Fig. 5 shows the schematic diagram that the Missing Persons according to an embodiment of the present invention based on recognition of face trace method.
From fig. 5, it can be seen that missing crew at origin O be missing, Missing Persons trace process also will since O point, with
Constantly range is traced in diffusion to radar diffusion way to the periphery, over time, the continuous expansion for tracing range of Missing Persons
Greatly, the edge that important level is also transmitted to border circular areas is traced.
Each node on same circumference is having the same to trace important level because being equidistant with far point O.When
The radar volume constantly spread touches transport node T, such as when airport, will notify all kinds of ID authentication device (examples in airport
Such as, gate inhibition, gate, camera etc.) Missing Persons are intercepted, and immediately to control centre and the staff of transport node locality
Alarm is traced in sending, and the origin O so that Missing Persons can not be missing by vehicles principle limits wandering away for Missing Persons
Range is traced for Missing Persons and is tried to gain time precious to one.
In a kind of real-time example, from the demographic data of each server, the scale and data traced according to Missing Persons
Size is measured, can be deposited by a variety of storage modes such as distributed storage, local centralization storage, cloud storage, edge storages
Storage reduces data transmission delay to promote deep learning network data storage efficiency.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.Moreover, particular features, structures, materials, or characteristics described
It may be combined in any suitable manner in any one or more of the embodiments or examples.In addition, without conflicting with each other, this
The technical staff in field can be by the spy of different embodiments or examples described in this specification and different embodiments or examples
Sign is combined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (such as computer based system, including the system of processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium ", which can be, any may include, stores, communicates, propagates or pass
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium include the following: there is the electricity of one or more wirings
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable read-only memory
(CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other suitable Jie
Matter, because can then be edited, be interpreted or when necessary with other for example by carrying out optical scanner to paper or other media
Suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are understood that realize all or part of step that above-described embodiment method carries
It suddenly is that relevant hardware can be instructed to complete by program, the program can store in a kind of computer-readable storage medium
In matter, which when being executed, includes the steps that one or a combination set of embodiment of the method.
It, can also be in addition, each functional unit in each embodiment of the present invention can integrate in a processing module
It is that each unit physically exists alone, can also be integrated in two or more units in a module.Above-mentioned integrated mould
Block both can take the form of hardware realization, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized and when sold or used as an independent product in the form of software function module, also can store in a computer
In readable storage medium storing program for executing.The storage medium can be read-only memory, disk or CD etc..
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in its various change or replacement,
These should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with the guarantor of the claim
It protects subject to range.
Claims (10)
1. a kind of Missing Persons based on recognition of face trace method characterized by comprising
Recognition of face is carried out at least Missing Persons' photo, extracts Missing Persons by being repeatedly overlapped face recognition algorithms
Characteristic set；
By Missing Persons' characteristic set using missing place as the center of circle by way of radar gradient decline, using preset threshold as side
Boundary's radius is sent to sensing equipment in region, and starts missing crew and trace program, when finding to hit the missing crew, returns
It returns and traces result；
When the starting missing crew, which traces program, imports transport node, the ID authentication device into transport node, which is sent, to be lost
Track personnel prompt, monitors in real time and intercepts a suspect；
Missing Persons' characteristic set is sent to public organizations, by by the public organizations newly into personnel characteristics set with
Missing Persons' characteristic set compares, and when the missing crew is hit in discovery, result is traced in return.
2. the method according to claim 1, wherein the multiple overlapping face recognition algorithms extract missing person
Mouth characteristic set, comprising:
Missing Persons' photo is divide into upper part and lower part；
Top half Missing Persons facial characteristics is extracted one by one, overlaps to form the first population facial characteristics；
Lower half portion Missing Persons facial characteristics is extracted one by one, and compares amendment with the first population facial characteristics, is formed and is lost
Track population characteristic set.
3. the method according to claim 1, wherein the radar gradient declines mode, comprising:
Using radial direction as gradient descent direction, gradually reduces trace important level in the radially outward direction；
With Radius upload sense equipment to trace important level consistent.
4. according to the method described in claim 3, it is characterized in that, described using radial direction as gradient descent direction, along radius
Outward direction, which gradually reduces, traces important level, comprising:
It is described to trace important level calculation formula are as follows:
Wherein I traces important level, I for t moment0Initially to trace important level, R is the radius of tracing of t moment, and μ is half
Diameter-traces important level conversion coefficient.
5. the method according to claim 1, wherein
It is described to trace geographical location, discovery time that result includes the Missing Persons, figure and features state；
It is described trace result by transmission device push in real time all trace equipment, and determine whether terminate trace program.
6. the method according to claim 1, wherein described touch friendship when the starting missing crew traces program
When logical node, comprising:
Using missing place as the center of circle, radius being traced over time and is extended with preset length, border circular areas is traced in formation；
When the transport node geographical location enter described in trace border circular areas when, be judged as that tracing program touches transport node.
7. according to the method described in claim 6, it is characterized in that, it is described by by the public organizations newly into personnel with it is described
Missing Persons' characteristic set compares, comprising:
When finding that Missing Persons are more than preset threshold earlier than debatable time into public organizations' time, does not return and trace knot
Fruit.
8. a kind of system that the Missing Persons based on recognition of face trace characterized by comprising
Initial identification module, for carrying out recognition of face at least Missing Persons' photo, by being repeatedly overlapped recognition of face
Algorithm extracts Missing Persons' characteristic set；
Module is traced in extension, is circle for place that Missing Persons' characteristic set is missing by way of radar gradient decline
The heart is sent to sensing equipment in region using preset threshold as bound radius, and starts missing crew and trace program, discovery hit
When the missing crew, result is traced in return；
Traffic blocking module, for when the starting missing crew trace program import transport node when, into transport node
ID authentication device sends missing crew's prompt, monitors in real time and intercepts a suspect；
Mechanism discovery module, for Missing Persons' characteristic set to be sent to public organizations, by by the public organizations
Newly gather into personnel characteristics and compared with Missing Persons' characteristic set, when the missing crew is hit in discovery, knot is traced in return
Fruit.
9. system according to claim 8, which is characterized in that the initial identification module, comprising:
Division unit, for Missing Persons' photo to be divide into upper part and lower part；
Extraction unit overlaps to form the first population facial characteristics for extracting top half Missing Persons facial characteristics one by one；
Amending unit carries out pair for extracting lower half portion Missing Persons facial characteristics one by one, and with the first population facial characteristics
Than amendment, Missing Persons' characteristic set is formed.
10. system according to claim 8, which is characterized in that further include:
Task scheduling modules, distribution, resource allocation for control task；
Efficiency monitoring module is used for monitor task execution efficiency, and sends supervision result to the task scheduling modules.
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Cited By (3)
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| CN110851646A (en) * | 2019-11-18 | 2020-02-28 | 陈镜涛 | Working efficiency statistical method for intelligent park |
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